Physics-Informed Neural Networks in Environmental Modeling
Exploring the intersection of traditional PDEs and modern machine learning approaches...
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Ph.D. Candidate in Computational Modeling & Information and Communication Technologies
Dual Ph.D. candidate at Universidad de Granada and Rio de Janeiro State University in Computational Modeling and Information Technologies. Specializing in machine learning applications for environmental inverse problems and pollutant transport modeling.
Computational Modeling (UERJ) & ICT (UGR)
Thesis: Physics-Informed ML for Pollutant Transport Modeling
Rio de Janeiro State University
Focus: Heat Transfer & Transport Phenomena
HAIS 23 Special Issue of the Logic Journal of the IGPL
Exploring the intersection of traditional PDEs and modern machine learning approaches...
Read MoreNova Friburgo, RJ | Brazil